Triple
T628131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Echo Park |
E15863
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Silver Lake |
E11299
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Silver Lake | Statement: [Echo Park, borderedBy, Silver Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silver Lake Context triple: [Echo Park, borderedBy, Silver Lake]
-
A.
Silver Lake
chosen
Silver Lake is a trendy, historically bohemian neighborhood in central Los Angeles known for its reservoir, hillside homes, and vibrant arts, dining, and nightlife scenes.
-
B.
Silver Lake
Silver Lake is a scenic body of water within Lynn Woods Reservation in Lynn, Massachusetts, popular for its natural beauty and outdoor recreation.
-
C.
Silver Lake Meadow
Silver Lake Meadow is a popular grassy parkland in Los Angeles known for its open fields, walking paths, and views of the Silver Lake Reservoir.
-
D.
Juniper Lake
Juniper Lake is a scenic high-elevation lake in Northern California known for its clear waters, surrounding volcanic landscapes, and opportunities for camping, hiking, and paddling.
-
E.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e59e2688190b3c18b17c5db1e2b |
completed | March 1, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac2a06c99881908c4f44b6bf91db1c |
completed | March 7, 2026, 1:37 p.m. |
Created at: March 1, 2026, 7:35 p.m.